Building Streaming Data Analytics Solutions on AWS Training in Kazakhstan

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 1 Day
  • Level: Expert
  • Price: From USD 1,261
  • Upcoming Date:
  • UK & Türkiye Based Global Training Provider

The Building Streaming Data Analytics Solutions on AWS Training course teaches participants how to design, implement, and operate modern streaming data analytics solutions on AWS to generate real-time business insights from high-volume data streams.

Using services such as Amazon Kinesis, Amazon Managed Streaming for Apache Kafka (Amazon MSK), AWS Lambda, AWS Glue, and Apache Flink, learners will gain hands-on experience ingesting, processing, transforming, and analysing streaming data at scale. The course also covers essential topics including security, scalability, performance optimisation, monitoring, and cost management for real-time analytics workloads.

Through practical labs and real-world use cases, participants will learn how to build resilient, scalable, and high-performance streaming architectures while applying AWS best practices for modern data analytics. The course forms part of the Building Modern Data Analytics Solutions on AWS training collection.

Bu versiyon özellikle AWS Streaming Analytics, Amazon Kinesis, Amazon MSK, Real-Time Data Analytics, Streaming Data Architecture, Apache Flink, AWS Data Engineering ve Modern Data Analytics on AWS anahtar kelimelerini doğal biçimde içerirken tekrarları tamamen ortadan kaldırır.

We can organize this training at your preferred date and location. Contact Us!

HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

Prerequisites

Participants will benefit from:

  • At least one year of experience managing data analytics or streaming data solutions
  • Familiarity with streaming concepts
  • Completion of Architecting on AWS or Data Analytics Fundamentals
  • Completion of Building Data Lakes on AWS

Who Should Attend

This course is designed for:

  • Data Engineers
  • Data Architects
  • Solutions Architects
  • Big Data Engineers
  • Cloud Engineers
  • Analytics Engineers
  • Developers building real-time applications
  • Technical teams managing streaming analytics platforms

What You Will Learn

By the end of this course, participants will be able to:

  • Understand the role of streaming services in modern data architectures.
  • Design and implement real-time analytics solutions on AWS.
  • Build data ingestion, transformation, and storage pipelines.
  • Deploy and manage Amazon Kinesis and Amazon MSK environments.
  • Optimise streaming workloads using sharding, partitioning, and compression techniques.
  • Secure streaming data both in transit and at rest.
  • Monitor and troubleshoot streaming analytics platforms.
  • Apply AWS cost optimisation best practices.
  • Design scalable streaming data architectures for business use cases.

Training Outline

Module A: Overview of Data Analytics and the Data Pipeline

Data Analytics Fundamentals

  • Modern Analytics Use Cases
  • Data-Driven Decision Making
  • Analytics Platform Architectures

Data Pipeline Concepts

  • Data Ingestion
  • Data Movement
  • Data Processing
  • Data Analytics Workflows

Module 1: Using Streaming Services in the Data Analytics Pipeline

  • Importance of Streaming Analytics
  • Real-Time Data Processing
  • Streaming Architecture Components
  • Data Flow Design

Module 2: Introduction to AWS Streaming Services

Amazon Kinesis

  • Amazon Kinesis Data Streams
  • Real-Time Data Streaming
  • Scalable Data Ingestion
  • Stream Processing

Hands-On Lab

  • Building Streaming Delivery Pipelines
  • Exploring Amazon Kinesis Data Streams

Amazon Kinesis Data Analytics

  • Real-Time Analytics
  • Apache Flink Integration
  • Streaming Transformations

Amazon Managed Streaming for Apache Kafka (Amazon MSK)

  • Amazon MSK
  • Managed Apache Kafka Service
  • Kafka Architecture and Use Cases

Apache Spark Streaming

  • Streaming Data Processing
  • Big Data Analytics Workloads

Module 3: Real-Time Analytics with Amazon Kinesis

Kinesis Data Streams

  • Clickstream Analytics
  • Producer and Consumer Architectures
  • Data Ingestion and Delivery

Apache Flink Integration

  • Flink Application Development
  • Kinesis Data Analytics
  • Real-Time Data Processing

Hands-On Lab

  • Streaming Analytics with Apache Flink
  • Real-Time Processing Scenarios

Module 4: Securing, Monitoring, and Optimising Amazon Kinesis

  • Performance Optimisation
  • Sharding Strategies
  • Compression Techniques
  • Security Best Practices
  • Monitoring and Observability

Module 5: Using Amazon MSK in Streaming Analytics Solutions

Amazon MSK Use Cases

  • Apache Kafka Architectures
  • Enterprise Data Streaming
  • Large-Scale Analytics Platforms

Amazon MSK Cluster Management

  • Cluster Provisioning
  • Data Ingestion
  • Stream Processing and Transformation

Hands-On Lab

  • Amazon MSK Access Control
  • Streaming Pipeline Development

Module 6: Securing, Monitoring, and Optimising Amazon MSK

  • Performance Tuning
  • Storage Scaling
  • Security Controls
  • Monitoring and Logging

Module 7: Designing Streaming Data Analytics Solutions

  • Business Use Cases
  • Streaming Workflow Design
  • Scalable Data Architectures
  • AWS Best Practices

Module B: Developing Modern Data Architectures on AWS

  • Modern Data Platforms
  • Data Lake and Streaming Integration
  • Data Modernisation Strategies
  • AWS Analytics Ecosystem

Why Choose Us

Experience Building Streaming Data Analytics Solutions on AWS in Kazakhstan through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from Kazakhstan and worldwide, with flexible planning options for individual and corporate training needs.

Experience Building Streaming Data Analytics Solutions on AWS in a focused classroom environment in Kazakhstan. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Building Streaming Data Analytics Solutions on AWS in Kazakhstan solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.
Contact us for more detail about our trainings and for all other enquiries!

Building Streaming Data Analytics Solutions on AWS Training Course in Kazakhstan Schedule

Join our public courses in our Kazakhstan facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
23 маусым 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,261
02 қыркүйек 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,261
03 қыркүйек 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,261
07 қыркүйек 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,261
09 қазан 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,261
11 қазан 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,261
12 қазан 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,261
10 қараша 2026 (1 Day)
Almaty, Astana, Shymkent
USD 1,261

Kazakhstan stands as the preeminent technological and financial powerhouse of Central Asia, with the dynamic cities of Almaty and Astana serving as global magnets for innovation. The country is home to the Astana Hub, an international tech startup center, and Nazarbayev University, both of which are at the forefront of pioneering research in Artificial Intelligence, Blockchain, and Big Data analytics. Kazakhstan has achieved worldwide recognition for its advancements in digital mining and financial technologies, supported by a national strategy that prioritizes high-quality IT education and continuous professional development. Our comprehensive training programs are strategically designed to empower professionals in Kazakhstan to master complex corporate systems and lead large-scale digital innovation processes. By bridging the gap between local talent and global industry standards, we ensure that the Kazakh workforce remains highly competitive in the rapidly evolving Eurasian digital economy.

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